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Approximate querying of RDF graphs via path alignment

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Abstract

A query over RDF data is usually expressed in terms of matching between a graph representing the target and a huge graph representing the source. Unfortunately, graph matching is typically performed in terms of subgraph isomorphism, which makes semantic data querying a hard problem. In this paper we illustrate a novel technique for querying RDF data in which the answers are built by combining paths of the underlying data graph that align with paths specified by the query. The approach is approximate and generates the combinations of the paths that best align with the query. We show that, in this way, the complexity of the overall process is significantly reduced and verify experimentally that our framework exhibits an excellent behavior with respect to other approaches in terms of both efficiency and effectiveness.

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Notes

  1. http://www.govtrack.us.

  2. A prototype application is available at https://www.dropbox.com/sh/d5u1u24qnyqg18f/7Oefq8-qVa.

  3. A prototype application is available at https://www.dropbox.com/sh/d5u1u24qnyqg18f/7Oefq8-qVa.

  4. http://lucene.apache.org/.

  5. http://www-personal.umich.edu/~mejn/netdata/.

  6. At https://www.dropbox.com/sh/d5u1u24qnyqg18f/7Oefq8-qVa you can find the complete set of queries.

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Authors and Affiliations

  1. Università Roma Tre, Rome, Italy

    Roberto De Virgilio, Antonio Maccioni & Riccardo Torlone

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  1. Roberto De Virgilio
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  2. Antonio Maccioni
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  3. Riccardo Torlone
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Correspondence to Roberto De Virgilio.

Additional information

Communicated by Haixun Wang and Jeffrey Xu Yu.

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De Virgilio, R., Maccioni, A. & Torlone, R. Approximate querying of RDF graphs via path alignment. Distrib Parallel Databases 33, 555–581 (2015). https://doi.org/10.1007/s10619-014-7142-1

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